Book Image

Exploring GPT-3

By : Steve Tingiris
Book Image

Exploring GPT-3

By: Steve Tingiris

Overview of this book

Generative Pre-trained Transformer 3 (GPT-3) is a highly advanced language model from OpenAI that can generate written text that is virtually indistinguishable from text written by humans. Whether you have a technical or non-technical background, this book will help you understand and start working with GPT-3 and the OpenAI API. If you want to get hands-on with leveraging artificial intelligence for natural language processing (NLP) tasks, this easy-to-follow book will help you get started. Beginning with a high-level introduction to NLP and GPT-3, the book takes you through practical examples that show how to leverage the OpenAI API and GPT-3 for text generation, classification, and semantic search. You'll explore the capabilities of the OpenAI API and GPT-3 and find out which NLP use cases GPT-3 is best suited for. You’ll also learn how to use the API and optimize requests for the best possible results. With examples focusing on the OpenAI Playground and easy-to-follow JavaScript and Python code samples, the book illustrates the possible applications of GPT-3 in production. By the end of this book, you'll understand the best use cases for GPT-3 and how to integrate the OpenAI API in your applications for a wide array of NLP tasks.
Table of Contents (15 chapters)
1
Section 1: Understanding GPT-3 and the OpenAI API
4
Section 2: Getting Started with GPT-3
8
Section 3: Using the OpenAI API

Chapter 2: GPT-3 Applications and Use Cases

GPT-3 was designed to be a general-purpose language processing model, meaning it wasn't explicitly trained for any one type of language processing task. So, possible use cases include virtually any natural language processing task you can imagine and others that probably haven't been imagined yet. New use cases for GPT-3 are constantly being discovered and that is a big part of the allure for many users. Sure, it does better with some tasks than others, but still, there are hundreds of possible uses. In this chapter, we'll break down some general use cases, and see how you can get started testing prompts of your own.

Our topics for this chapter are as follows:

  • Understanding general GPT-3 use cases
  • Introducing the Playground
  • Handling text generation and classification tasks
  • Understanding semantic search